Top Machine Learning Jobs in Krakow

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

Design and develop scalable, high-quality backend systems for traffic automated road closure detection, handling the full software development lifecycle.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

The Senior Machine Learning Scientist will design and implement AI solutions, manage research projects, and collaborate with cross-functional teams to improve the AI Agent product at Zendesk.

The R&D Scientist will enhance simulation-based engineering processes using ML, lead research projects, collaborate globally, and publish findings.

As a Product Owner for Machine Learning, you'll deliver impactful analytics features for non-technical users, manage product backlogs, and collaborate with data teams.

The role involves leading R&D projects to model and simulate power systems, utilizing machine learning and numerical simulations to support energy transition efforts.

Lead and implement a multi-year SCM continuous improvement strategy, utilizing Lean principles and advanced analytics to optimize processes, mentor teams, and deliver business results.

The role involves conducting R&D in process mining, proposing projects, collaborating with teams, implementing solutions, and disseminating results in publications.

Lead digital transformation initiatives in supply chain and procurement, implementing AI and ServiceNow solutions while managing multi-million dollar programs.

Lead cross-functional teams in R&D projects related to HVDC technology, from ideation to implementation, ensuring alignment with strategic goals and deliverables.

The Staff Machine Learning Scientist will lead product vision through innovation, overseeing the R&D lifecycle, mentoring junior team members, maintaining research standards, and advancing AI technology in conversational systems.

The Investor Services Senior Administrator executes tasks in the Investor Services Department, including reviewing transactions, liaising with investors, and preparing reports.

As an R&D Engineer, you'll develop and validate AI/ML technologies for HVDC solutions, collaborate globally, and innovate optimization methods.

As a Senior Middle Office Associate, manage trade lifecycle, ensure accuracy in trade bookings, resolve discrepancies, and communicate with clients and vendors effectively.

The Data Scientist will develop AI and data science solutions, analyze structured data, implement machine learning techniques, and collaborate with business teams to generate value from data initiatives.

Lead design and development of products from vehicle telematics data, collaborating across teams to enhance customer experience and maintain core platforms.

Lead the Core & MLOps Squad to build and maintain scalable infrastructure for data services, ensuring MLOps excellence and team mentorship.

The Senior Product Manager - Capture leads AI-based invoice capture and validation, driving strategy and collaboration across teams to optimize document processing for accounts payable automation.

Develop and implement machine learning models for lead scoring, customer segmentation, and optimization, while collaborating across teams to drive data-driven strategies.

The Fund Accounting Director leads NAV processes, manages accounting teams, ensures timely delivery, and collaborates with clients and internal departments while resolving issues and enhancing procedures.

The Financial Analyst & Controller manages financial operations for Hitachi's Global Marketing & Sales, ensuring financial accuracy, compliance, process improvement, and strategic oversight.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.